Single nucleus transcriptomics data integration recapitulates the major cell types in human liver.

Klev Diamanti Juan Salvador Inda Díaz Amanda Raine Gang Pan Claes Wadelius Marco Cavalli

Published in: Hepatology research : the official journal of the Japan Society of Hepatology (2020)

Integration of droplet-based single nucleus transcriptomics data enabled identification of a small cluster of inactive hepatic stellate cells that highlights the potential of our approach. We suggest single-nucleus RNA sequencing integrative approaches could be utilized to design larger and cost-effective studies.

Keyphrases

single cell
electronic health record
high throughput
induced apoptosis
big data
cell therapy
machine learning
oxidative stress
risk assessment
cell proliferation
signaling pathway
data analysis
deep learning
case control